DAT430 Course Introduction

Course Description This course provides an overview of data analytics, quantitative techniques and their applicability to various organizational problems. It emphasizes the use of statistical methods and data-driven decision making in complex business situations. The course also addresses some of the ethical issues that come up when working with large amounts of data. Prerequisites DAT430 Course Introduction for DAT430 – Leveraging Data Analysis for Organizational Results (DAT430) Course Syllabus Prerequisite: DAT430 or equivalent Knowledge Base DAT430 course is designed to

DAT430 Course Description

This course provides a practical introduction to statistics and data analysis, covering both descriptive and inferential statistical methods. The course also includes an overview of the tools available in SAS software that will be used to create custom analyses. Topics include exploratory data analysis, descriptive statistics, binomial and multinomial distributions, chi-square tests, ANOVA, ANCOVA, regression modeling, standard errors and confidence intervals, hypothesis testing using t-tests and chi-square tests, t-test for two groups with one continuous dependent

Universities Offering the DAT430 Course

at University of Southern California (USC)

Institutions in the same region as USC

This is a list of universities offering the DAT430 Course for DAT430 – Leveraging Data Analysis for Organizational Results (DAT430) at University of Southern California (USC). Please select the institution to view its details.

DAT430 Course Outline

(Online) Course Title: Leveraging Data Analysis for Organizational Results (DAT430) (Online) Credits: 3.00 This course will introduce students to the theory, process, and tools of data analysis. Students will learn to examine data to discover information about organizational performance, trends, and relationships. The course will focus on topics in business and marketing analytics such as developing a data collection plan, understanding the meaning of the collected data, identifying and measuring key factors of an organization’s success,

DAT430 Course Objectives

1. Define and explain the value of data analysis in business, society, and the organization. 2. Apply data analysis to a variety of organizational settings. 3. Apply knowledge of statistics to data analysis projects. 4. Communicate clearly and effectively with colleagues, clients, students, and the general public regarding statistical concepts and analyses. 5. Understand how to address ethical issues related to organizational data analysis. DAT430 Course Objectives for DAT431 – Computing with Data (DAT431

DAT430 Course Pre-requisites

Week 1: Introduction to Data Management Concepts

Week 2: Data Warehouse Design and Implementation – Data Warehouse – Components of the data warehouse

Week 3: ETL (Extract, Transform, Load) – ETL tools (stage step)

Week 4: Dimensional Modeling – Dimensional Modeling Approach

Week 5: Attributes Modeling – Attribute Model

Week 6: Tabular Modeling – Tabular Model

Week 7: Cardinality Constraints and Measures – Cardinality Constraints on attributes

DAT430 Course Duration & Credits

The duration of this course is 3 weeks. Click here to see the course dates and hours. About DAT430 – Leveraging Data Analysis for Organizational Results (DAT430) This course is designed to prepare participants to identify, analyze, communicate and implement actionable information derived from data analysis. Whether preparing for a new position or career advancement, participating in professional organizations or seeking to advance in your current organization, this course will prepare you with skills that will make you an indispensable member of any organizational team.

DAT430 Course Learning Outcomes

1. Recognize the current and emerging roles of data scientists in the organizational world. 2. Explore how data science methodologies and tools enable organizations to improve decision making, create new revenue streams, and develop innovative solutions. 3. Understand how to translate data into actionable knowledge within the organization and how to communicate insights effectively across teams to achieve business outcomes.

DAT430 Datasheet

DAT430 course overview

DAT430 Course Learning Outcomes for DAT430 – Leveraging Data Analysis for Organizational

DAT430 Course Assessment & Grading Criteria

DAT430 Week 3 Individual Assignment Creating a Business Case for Data Analysis

$10.00 $5.00

BIC440 – Leading Successful Teams

BIC440 Course Assessment & Grading Criteria for BIC440 – Leading Successful Teams (BIC440) BIC440 Week 1 Discussion Question 2 and Discussion Question 3

$4.00 $2.00

BIC450 – Strategic Planning in the Social Sector: A Framework for Collaboration (BIC450)

DAT430 Course Fact Sheet

Course Number: 3 Credit Hours – Dates: August 30, 2014 – December 20, 2014 Instructor Information : Dr. John A. Petruzzelli ( petruz@pratt.edu ) Course Description This course is designed to allow students to investigate and apply a variety of statistical and analytical methods to business and management problems in which large amounts of data are used as part of the analysis process. In addition, it will provide an introduction to modern applications in industry including information

DAT430 Course Delivery Modes

& DAT430 – Exploring Data (DAT430)

Course Delivery Modes for DAT430 – Leveraging Data Analysis for Organizational Results (DAT430) – Online/Distance Learning (OMD)

Course Delivery Modes for DAT430 – Exploring Data (DAT430) – Online/Distance Learning (OMD)

Online/Distance Learning.

Investigate the use of data in a strategic planning context.

Explore how data is used in practice and why it can be valuable to an organization.

Identify ways in

DAT430 Course Faculty Qualifications

Category: Faculty Category 2

David J. Aaker, Ph.D., professor of marketing at the Darden School of Business at the University of Virginia and bestselling author of The Brand Called You: Using Customer Insights to Drive Your Company’s Success

Principal role in teaching data analytics courses

Twice chosen as “Best Marketing Research Professor” by Reputation Magazine

Member of the Board of Directors for the IRTA (International Researcher and Trainer Association)

Member of the Center for Creative Leadership

DAT430 Course Syllabus

This information is for 2017 DAT430 – Leveraging Data Analysis for Organizational Results (DAT430) from University of Phoenix. This course will emphasize on creating effective visualizations and conducting relevant analyses using the most recent data analytics techniques and tools.

The Graduate School The Graduate School is the umbrella organization that administers all graduate programs offered by the university. It is responsible for awarding degrees, awards, honors, diplomas, and transcripts.

Dealing With Deceptive Advertisements

Deception

Suggested DAT430 Course Resources/Books

This book is a hands-on guide to the specific tools, techniques and best practices needed to be a successful data analyst. The author provides practical advice on how data analysts can leverage their skills to gain a competitive advantage in their organizations. Includes sample exercises to build skills and help you learn from real-world examples. ISBN 9780991713202

Author: Griffin, Dan ISBN: 0991713209 Price: $17.95 (US) Version: Paperback (002) Edition: First Published

DAT430 Course Practicum Journal

Class Number: 10100031 Section: 0222 Location: HAB-E, HAB-140 Start/End Date: Monday, May 28 – Friday, June 1, 2018 / Monday, August 27 – Friday, September 14, 2018

Course Objectives:

DAT430’s course practicum is designed to provide the student with opportunities to apply principles and techniques of data analysis in a real-world setting. The objective of the practicum is to apply

Suggested DAT430 Course Resources (Websites, Books, Journal Articles, etc.)

– Free

DAT430 Course Project Proposal

20% Due: 11/29/2018 1:00 PM

In this project, you will work in teams to provide insights and recommendations about the impact of your organization’s data on decision making. The following assignments are intended to allow your teams to work together to develop a clear understanding of how data can help an organization achieve its goals. The final deliverable for the project is a report detailing your findings.

Assignment #1: Organizational Data Overview (5% Due:

DAT430 Course Practicum

This course is for practicum students only. Students will complete 7 – 10 hours of directed project work on a single organizational problem. Projects will be limited to seven weeks in length and students will work with supervisors to analyze data and develop recommendations for operational, strategic, or tactical improvements. In this practicum, students will conduct quantitative and qualitative analyses of an actual case study related to organizational change, performance management, or human capital management in a business environment.

LEVERAGING DATA ANALYSIS FOR OR

Related DAT430 Courses

The course covers the organization of data and the way that a business leverages data in order to plan for and execute effectively. This course includes an overview of data sources and techniques for analysis, the role of data and analytics in decision making, and tools used in data management.

Midterm Exam

– Exam 2

Answer all questions. Do not use your notes or textbook, as it will waste valuable class time.

– Question 1: (25 points) In this question, you are asked to identify a major ethical dilemma faced by the Federation of Asian Trade Association (FATA) in Southeast Asia. For each dilemma identified, give a detailed explanation of why it is unethical to act in the way that the business organization is acting, with emphasis on legal/ethical issues such as bargaining power

What Should Students Expect to Be Tested from DAT430 Midterm Exam

(3 hours) The midterm is designed to test your knowledge of the course material. You will also have an opportunity to practice some form of data visualization in Matlab. You are expected to complete the questions with at least 95% accuracy and you should expect 40 minutes for each question.

You must pass this exam to be eligible to take DAT430, and you may not retake this exam after having taken it more than once. If you think you have missed a question, make sure you discuss

How to Prepare for DAT430 Midterm Exam

at the University of Toronto. This course is included in Quantitative Methods for Decision Making (QM 430) at the University of Toronto and is also available as an online course. Please note that this subject has been replaced by QM 370, which is now a prereq for all subsequent quantitative methods courses (QM 430, 431, etc.)

1. Data Analysis Techniques – Read pages 6-10 of the PDF attached below.

2. Use a spreadsheet to analyze the following data

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Final Exam

4.0 points (Chapter 3, Chapter 8, Exam #1, Exam #2) 40% of final grade Nov 20 – Dec 10 All students must attend class. Attendance is taken at the beginning and end of each class period. Each student is responsible for understanding concepts in DAT430 regardless of whether or not they attend class. You are expected to complete assignments prior to attendance at class and submit them during class time. If you cannot make it to class, you

What Should Students Expect to Be Tested from DAT430 Final Exam

1. Describe the role of the executive in a company (section 3). The executive is responsible for making decisions about the direction of the organization, and must keep this in mind as they make decisions. A variety of resources exist to help assist executives in their decision-making processes including: books, magazines, and journals that contain research studies on subjects such as ethics and values.

2. What are some characteristics associated with ethical leadership? (section 4) Ethical leaders are perceived to be honest

How to Prepare for DAT430 Final Exam

Exam

Course Overview:

This course is a specialization in data analytics and effective use of data analysis to improve organizational performance. The primary objective of the course is to introduce students to various models, methods, and tools for conducting advanced statistical analyses in order to effectively use data to inform decisions. The focus of the course will be on how these models, methods, and tools can be applied in the context of managerial decision making.

The course will also include an overview of the many types of analytical methodologies that are

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Question 1

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Week by Week Course Overview

DAT430 Week 1 Description

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DAT430 Week 1 Outline

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Running head: DAT430 Week 1 Outline for DAT430 Leveraging Data Analysis for Organizational Results DAT430 Week 1 Outline for DAT430 – Leveraging Data Analysis for Organizational Results (DAT430) – A+ Grade

Leveraging Data Analysis for Organizational Results

DAT430

Week 1 Outline

Outline for DAT430 – Leveraging Data Analysis for Organizational Results (DAT430) – A+ Grade

1. Introduction to the Course and the

DAT430 Week 1 Objectives

What is a Data Analysis? A data analysis is the process of taking a collection of data and turning it into information that you can act on. To accomplish this, you will apply statistical techniques to look at the data and interpret it.

This assessment will allow you to demonstrate the following objectives: 1) Understand the goal of conducting a data analysis; 2) Demonstrate how an organizational needs assessment can be used to identify gaps between current performance and organizational goals and values; 3) Demonstrate

DAT430 Week 1 Pre-requisites

You are to complete the following:

• Develop a strategy for collecting and analyzing data.

• Determine which analytical technique you will use to collect the data.

• Analyze the results.

• Develop an action plan with actions that will lead to improved organizational performance through improved outcomes, increased efficiencies, etc. for this client organization.

Week 1

This week you will write an essay of approximately 2-3 pages in length (not including title and reference pages) responding to all of the items on this

DAT430 Week 1 Duration

3-4 Pages

Description

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DAT430 Week 1 Learning Outcomes

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DAT430 Week 1 Discussion Questions [Open Ended] – Details This Week’s Assignment: Pick any one of the following questions and answer it using data that you created or found using your own dataset from the first week of class:

Do you agree with the statement

DAT430 Week 1 Assessment & Grading

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DAT430 Week 1 Suggested Resources/Books

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The answers to the questions that follow are meant as examples of how you can collect and analyze data and then use the results to answer questions. You should NOT turn these in as your own work. 1. What are the basic types of clinical trials? (Give three) 2. Define statistical analysis methods and their roles in a research study. (Give two examples) 3. Identify three areas that you would want to discuss with a team of researchers conducting a

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You are a consulting manager in a small firm, managing a staff of two data analysts. Your firm has invested significantly in creating your data analysis team. They have brought in a

DAT430 Week 1 DQ 1 (20 Questions)

– Discussion Question 1 Write a response to the following:

Integrating data analysis methods within your organization is crucial for building organizational capacity to drive innovation. For this week’s discussion, review the following case:

The Case: Using Data Analysis to Build Organizational Capacity for Innovation

More and more organizations are using data analysis techniques as part of their operations. These data analyses help an organization gain a competitive advantage by enabling it to:

Simplify the creation of business models

Increase sales

Improve operations

DAT430 Week 1 Discussion 2 (20 Questions)

for the University of Phoenix

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DAT430 Week 1 DQ 2 (20 Questions)

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1) Which of the following is NOT an important question to ask when trying to analyze an internal issue?

a. What are the impact of the issue on business operations and how will they be impacted by this decision?

b. What other departments have been affected?

c. How does this decision affect other areas of the organization such as sales, marketing, and human resources?

d. What is the financial impact of this decision on the organization’s bottom line?

e. How

DAT430 Week 1 MCQ’s (20 Multiple Choice Questions)

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DAT430 Week 2 Description

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DAT430 Week 2 Outline

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DAT430 Week 2 Objectives

Objectives: 1. This week, we will: · Explore how businesses can leverage data analysis to improve their efficiency and profitability. · Learn the key steps of data analysis. · Practice using Excel software to perform data analysis tasks. Description: In this week’s lesson, you will explore how businesses can leverage data analysis to improve their efficiency and profitability. You will learn the key steps of data analysis that will help you identify trends in your business’ operations and increase profitability. By the end of this

DAT430 Week 2 Pre-requisites

Pre-reading Assignment Read the Case Study on Data Analysis in a Large Organization. This assignment will help you to understand how data analytics is used in the organization. You will learn about tools and approaches and also strategies that are used to make sure that the organization is able to leverage data for improved decisions. After reading this case study, respond to one of the following:

• In your response, describe an example of how information technology can be used to better support organizational decision making.

• Discuss at least one

DAT430 Week 2 Duration

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Data Analysis for Organizational Results

by: Megan Winters

This course offers you an opportunity to learn the process of analyzing a variety of data in order to

DAT430 Week 2 Learning Outcomes

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DAT430 Week 2 Assessment & Grading

(UOP) Create a 1,400- to 1,750-word paper (plus or minus 10%) addressing the following: Using the recommendations and references provided in your textbook, discuss how your personal attitudes toward using data in decision making affect how you would respond to a particular situation related to health care management. Be sure to include at least two examples of situations you have seen used effectively. Discuss why these situations are appropriate for use and how they affect the organization’s goals.

TCM

DAT430 Week 2 Suggested Resources/Books

The following are suggested resources and books to be used as references for DAT430: * Schenck, J. (2008). Real Time Data Analysis with JMP: A Toolkit for Business Professionals. John Wiley & Sons, Inc., Hoboken, NJ.

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The Case Study Simulation for DAT 430 is designed to provide students with a realistic work environment where they can test and evaluate their performance under various conditions. This case study simulation requires DAT 430 students to apply the knowledge and skills gained in class, practice communicating effectively in an organization and learn how to solve problems by using data. It also requires them to review what they

DAT430 Week 2 Discussion 1 (20 Questions)

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DAT430 Week 2 Discussion 1 (20 Questions) for DAT430 – Leveraging Data Analysis for Organizational Results (DAT430) with total answers and explanations

Week 2 Discussion Question 1: What is the definition of big data? Why should it be important to an organization? What are some examples of big data?

Week 2 Discussion Question 2: How can big data be leveraged to help organizations achieve their goals? List at least two specific

DAT430 Week 2 DQ 1 (20 Questions)

Week 2 DQ 1 (20 questions) DAT430 Week 2 Learning Team Read the Case Study, Making Sense of Data (http://www.strayer.edu/strayer/academics/departments/economic-and-business-administratio/making-sense-of-data.html) and complete the Case Study Worksheet (https://chegg.com/homework-help/case-study-worksheet-12516101). You are to submit a copy of your worksheet with your Discussion 1 post

DAT430 Week 2 Discussion 2 (20 Questions)

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Course: DAT430 – Leveraging Data Analysis for Organizational Results (DAT430)

Supplemental Course Material:

Post a 300-word discussion in which you summarize the key concepts of the week’s learning activity. Be sure to share your thoughts on how the concepts will help you and your organization succeed in today’s economy.

ASSESSMENT

1. What is the most effective way to make people believe that they can improve their performance if they just try harder

DAT430 Week 2 DQ 2 (20 Questions)

for only $13.99! What is the difference between a regression analysis and an ANOVA? Why do you think a regression analysis is more appropriate for an existing data set as compared to performing a MANOVA? Does a MANOVA provide additional information over a regression analysis? Explain your reasoning. A company has developed three different product lines of varying quality. To analyze the potential of these products, two different regressions were conducted using the product names as independent variables and the measured variable as

DAT430 Week 2 Quiz (20 Questions)

for

Question #1

The ratio of the average age of all children in a district to the average number of families living within the district is called a(n)

Question #2

Which statement about school choice is true?

It does not require that students attend a school within their attendance zone.

It is the student’s choice whether to attend a public, private, or parochial school.

Question #3

When parents make this decision, they are more likely to choose schools that offer:

DAT430 Week 2 MCQ’s (20 Multiple Choice Questions)

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DAT430 Week 3 Description

Click on the Assignment Files tab to submit your assignment for grading. Originality: The student submits original work without copying another person’s ideas or information without properly referencing sources used in the assignment. Plagiarism: The student submits work that is not his/her own and fails to provide accurate, complete, or appropriate credit in accordance with the specifications of a source (e.g., plagiarism). For more information about plagiarism, visit http://www.copss.uwo.ca/academicintegrity/policies

DAT430 Week 3 Outline

– DeVry University

Question

Answer all parts of this assignment and submit to Turnitin.com (See instructions below).

Write a 2-3 page paper with the following:

· An overview of what is meant by “Organizational Data Analysis” in the context of the organization.

· Define data analysis.

· Explain what are the main reasons for conducting Organizational Data Analysis?

· List three main steps involved in conducting Organizational Data Analysis.

· Explain how to implement organizational data analysis with several examples

DAT430 Week 3 Objectives

2 1. Analyze how to best leverage data analysis to achieve business results. 2. Define the process of data analysis. 3. Apply some of the statistical methods used in business. 4. Explain how to apply a population approach to testing claims about groups.

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[PDF] DAT430 Week 3 Quiz Answers

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DAT430 Week 3 Pre-requisites

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DAT430 Course Introduction

DAT430 Course Description

Universities Offering the DAT430 Course

DAT430 Course Outline

DAT430 Course Objectives

DAT430 Course Pre-requisites

DAT430 Course Duration & Credits

DAT430 Course Learning Outcomes

DAT430 Course Assessment & Grading Criteria

DAT430 Course Fact Sheet

DAT430 Course Delivery Modes

DAT430 Course Faculty Qualifications

DAT430 Course Syllabus

Suggested DAT430 Course Resources/Books

DAT430 Course Practicum Journal

Suggested DAT430 Course Resources (Websites, Books, Journal Articles, etc.)

DAT430 Course Project Proposal

DAT430 Course Practicum

Related DAT430 Courses

Midterm Exam

Top 100 AI-Generated Questions

What Should Students Expect to Be Tested from DAT430 Midterm Exam

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Final Exam

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Week by Week Course Overview

DAT430 Week 1 Description

DAT430 Week 1 Outline

DAT430 Week 1 Objectives

DAT430 Week 1 Pre-requisites

DAT430 Week 1 Duration

DAT430 Week 1 Learning Outcomes

DAT430 Week 1 Assessment & Grading

DAT430 Week 1 Suggested Resources/Books

DAT430 Week 1 Assignment (20 Questions)

DAT430 Week 1 Assignment Question (20 Questions)

DAT430 Week 1 Discussion 1 (20 Questions)

DAT430 Week 1 DQ 1 (20 Questions)

DAT430 Week 1 Discussion 2 (20 Questions)

DAT430 Week 1 DQ 2 (20 Questions)

DAT430 Week 1 Quiz (20 Questions)

DAT430 Week 1 MCQ’s (20 Multiple Choice Questions)

DAT430 Week 2 Description

DAT430 Week 2 Outline

DAT430 Week 2 Objectives

DAT430 Week 2 Pre-requisites

DAT430 Week 2 Duration

DAT430 Week 2 Learning Outcomes

DAT430 Week 2 Assessment & Grading

DAT430 Week 2 Suggested Resources/Books

DAT430 Week 2 Assignment (20 Questions)

DAT430 Week 2 Assignment Question (20 Questions)

DAT430 Week 2 Discussion 1 (20 Questions)

DAT430 Week 2 DQ 1 (20 Questions)

DAT430 Week 2 Discussion 2 (20 Questions)

DAT430 Week 2 DQ 2 (20 Questions)

DAT430 Week 2 Quiz (20 Questions)

DAT430 Week 2 MCQ’s (20 Multiple Choice Questions)

DAT430 Week 3 Description

DAT430 Week 3 Outline

DAT430 Week 3 Objectives

DAT430 Week 3 Pre-requisites